9,993 research outputs found

    Overwinter transplant production for extended season organic cropping (OF 0144)

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    The objectives of this project (Defra project OF0144), lead by EFRC, were to: • identify acceptable organic fungicide products to control mildew in transplant production • produce integrated organic transplant production systems for brassica, allium and lettuce over the autumn and winter period by identifying optimum cell/block sizes in relation to nutrient requirements and sources, growing media formulation, and supplementary feeding and watering • evaluate developed transplant production protocols during the winter period • undertake technology transfer and dissemination of the results Results: Protocols were tested for a range of crop species and varieties, growing media, cell size and feeding regimes over the three seasons under experimental and commercial conditions. It is possible to produce transplants of a suitable quality over the winter period although propagation time is generally longer than at more favourable times of year. With respect to identifying acceptable fungicide products • a range of fungicidal products was identified including L-Carvone, Mycosin, fennel and clove oils that showed potential in controlling mildew on a range of crop species. However the work also raised the question of the suitability of the use of such materials in organic systems which has not been resolved. • work on spectral filters found no benefits to their use in transplant production • cell size has minimal effect on disease spread As far as integrated organic transplant production systems are concerned: • production time was longer overwinter than in spring • lettuce was relatively easy to produce in a range of media and block sizes with no supplementary feed being necessary • similarly cabbage was relatively easy to produce although feeding was required • cauliflower was produced using smaller cell size and full nutrient compos

    A Numerical Investigation of Unsteady Bubbly Cavitating Nozzle Flows

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    The effects of unsteady bubble dynamics on cavitating flow through a converging-diverging nozzle are investigated numerically. A continuum model that couples the Rayleigh-Plesset equation with the continuity and momentum equations is used to formulate unsteady, quasi-one-dimensional partial differential equations. These equations are solved numerically using a Lagrangian finite volume method. Special formulations are used at the boundary cells to allow Eulerian boundary conditions to be specified. Flow regimes studied include those where steady state solutions exist, and those where steady state solutions diverge at the so-called flashing instability. These latter flows consist of unsteady bubbly shock waves travelling downstream in the diverging section of the nozzle. The computations show reasonable agreement with an experiment that measures the spatial variation of pressure, velocity and void fraction for steady shockfree flows, and good agreement with an experiment that measures the shock position and throat pressure for flows with bubbly shocks

    Local pre-processing for node classification in networks : application in protein-protein interaction

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    Network modelling provides an increasingly popular conceptualisation in a wide range of domains, including the analysis of protein structure. Typical approaches to analysis model parameter values at nodes within the network. The spherical locality around a node provides a microenvironment that can be used to characterise an area of a network rather than a particular point within it. Microenvironments that centre on the nodes in a protein chain can be used to quantify parameters that are related to protein functionality. They also permit particular patterns of such parameters in node-centred microenvironments to be used to locate sites of particular interest. This paper evaluates an approach to index generation that seeks to rapidly construct microenvironment data. The results show that index generation performs best when the radius of microenvironments matches the granularity of the index. Results are presented to show that such microenvironments improve the utility of protein chain parameters in classifying the structural characteristics of nodes using both support vector machines and neural networks

    Lessons Learned from a Review of 50 ASR Projects from the United States, England, Australia, India, and Africa

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    The University of Florida has conducted a significant research program over the last four years investigating various aspects of Aquifer, Storage and Recovery (ASR). One pillar of this research effort was the compilation of ASR field data from around the world. Data and supporting information was compiled for over 50 ASR sites located in the United States, England, Australia, India, and Africa. This field data review was completed with two main objectives. First, the ASR operating data was reviewed to evaluate operational similarities and differences. Second, the ASR field data was reviewed to identify fatal flaws that could be avoided at future ASR projects or lessons learned that could aid existing and future ASR projects. Summary tables were prepared comparing basic site information, such as geologic environment or aquifer transmissivity, and site operational characteristics, such as recharge water quality and geochemical issues. Data from 50 of the ASR sites are reviewed in this article. The data revealed that a majority of the sites have been successful in meeting their project goals and objectives; however, a few of the sites have had considerable problems that have limited their overall feasibility

    Omani school supervisor perspectives of contextual factors impacting upon students’ limited English proficiency: an exploratory study

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    Since the beginning of Oman’s “modern era” in 1970, English has assumed a central role in the country’s education system and has acted as a lingua franca across a variety of domains. However, despite this, graduates of Omani public schools are often reported as lacking the English-language linguistic and communicative abilities demanded by higher education institutions and the world of work. Consequently, most high school graduates entering tertiary education are required to enrol in foundation programs to improve their English language skills, while the employability of graduates seeking jobs straight from high school has also been reported as being negatively affected. Within this context, the current research explored the ways in which contextual factors relate to Omani school graduates’ development of English language skills. To achieve this, eight high school English language teaching supervisors responded to an on-line, open-ended question about the contextual factors they believed caused Omani school students to graduate with low English language proficiency. Results indicate that participants believed families, parents, and “Englishness” are the most important contextual factors contributing to this issue. The practical implications of these findings are discussed
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